AI Product Insights Analyst

Job Requisition ID: 94551

Location Designation: Fully Onsite

Location: 44 South Broadway, White Plains, New York 10601

Offered Wage: $189,000.00/year - $230,000.00/year

Duties Design, implement, and operationalize GenAI-enabled analytical frameworks to enhance personalization, automation, and decision intelligence. Develop and maintain data models and transformation pipelines using DBT, Databricks, and Python, focusing on scalability, reproducibility, and performance optimization. Conduct feature attribution and ROI modeling to quantify business value of AI features and inform enterprise prioritization. Lead prompt engineering and fine-tuning efforts for LLMs designed for financial services applications, ensuring accuracy, compliance, and ethical AI standards. Collaborate with data scientists, engineers, and business leaders to design AI-integrated product strategies and measure their impact through advanced experimentation frameworks. Deliver high-fidelity visual analytics and executive storytelling, synthesizing model results and behavioral insights into actionable strategic recommendations.

Education & Experience Requirements: Master’s degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Insights Analyst/Engineer, Strategic Insights Analyst/Engineer, Service Analytics Associate, or related occupation, designing AI analytics, applied machine learning, or data-driven product strategy; or, alternatively, Bachelor’s degree in Applied Analytics, Data Science, Computer Science, Applied Mathematics, or related quantitative discipline (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Insights Analyst/Engineer, Strategic Insights Analyst/Engineer, Service Analytics Associate, or related occupation, designing AI analytics, applied machine learning, or data-driven product strategy. Prior experience must include the following skills (quantitative experience requirement not applicable to this section): developing data models using Python, SQL, DBT, Databricks, and data pipeline orchestration tools; working with Generative AI frameworks, including LangChain, OpenAI API, or Hugging Face Transformers for prompt optimization; performing predictive modeling, causal inference, and ROI estimation; presenting complex technical concepts to executives through compelling data narratives; and delivering strategic differentiated solutions at enterprise scale cross-domains, including marketing, sales, finance, and service. Eligible for Employee Referral Program. To apply, visit https://jobs.newyorklife.com/ and search job title.

Pay Transparency Overtime eligible: Exempt

Discretionary bonus eligible: No

Sales bonus eligible: No

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.

Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.

As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.

Our Benefits We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit…